Triple

T3289712
Position Surface form Disambiguated ID Type / Status
Subject Amur leopard E69070 entity
Predicate wildPopulationTrend P31774 FINISHED
Object increasing LITERAL FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: increasing | Statement: [Amur leopard, wildPopulationTrend, increasing]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: wildPopulationTrend
Context triple: [Amur leopard, wildPopulationTrend, increasing]
  • A. hasWildPopulationOf
    Indicates that a location or area contains a naturally occurring, non-captive population of the specified species.
  • B. conservationStatusTrend
    Indicates the direction or pattern of change over time in the conservation status of an entity (e.g., improving, stable, or declining).
  • C. approximatePopulationTrend chosen
    Indicates an estimated or generalized pattern of how a population changes over time (e.g., increasing, decreasing, or stable) rather than an exact count.
  • D. geographicRangeTrend
    Indicates how the spatial extent or distribution area of something is changing over time (e.g., expanding, contracting, or remaining stable).
  • E. biodiversityStatus
    Indicates the current condition or level of biological diversity associated with an entity, often in terms of richness, health, or conservation concern.
  • F. None of above.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ad859d45748190b0742408c954b39f completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb05bd6b08190bcb9f0e5da82bc21 completed March 8, 2026, 5:22 p.m.
PD Predicate disambiguation batch_69ada421fadc8190b7c7d3c8afd20061 completed March 8, 2026, 4:30 p.m.
Created at: March 8, 2026, 3:10 p.m.